fixed TaskEvaluation.action

src/interaction_msgs/action/TaskEvaluation.action

@@ -23,3 +23,4 @@ uint16 processed_trajectories
 # Result
 float32[] new_means  # Length: number_of_population * number_of_dimensions * number_of_parameters_per_dimension, this is needed because in case of user input the parameters arent known yet
 float32[] score  # Length: number_of_population
+

src/interaction_tasks/interaction_tasks/task_node.py

@@ -14,7 +14,6 @@ from src.interaction_utils.serialization import flatten_population, unflatten_po
 from interaction_msgs.action import TaskEvaluation
 
 
-
 class TaskNode(Node):
     def __init__(self):
         super().__init__('task_node')
@@ -112,6 +111,9 @@ class TaskNode(Node):
             goal_handle.publish_feedback(feedback_msg)
 
             if self.state == 'sending_request':
+                if self.goal_dict == {}:
+                    self.error_trigger()
+
                 result_msg.score = self.goal_dict['score']
                 result_msg.new_means = self.goal_dict['new_means']
                 break